Artificial Intelligence Research Group
A multidisciplinary research and development unit aiming to integrate digital health solutions, smart system applications, and biomedical device technologies with artificial intelligence.
Just as smartphones have fundamentally changed the way we communicate, our Research Group aims to reshape healthcare delivery through digital transformation.
If your body were a smart city, this Research Group would be like the engineers designing the sensors, traffic management systems, and emergency response units placed in that city. Every organ, every system is continuously monitored, and necessary interventions are automatically suggested for optimal performance.
The core concept our group focuses on is the transition from the "reactive" structure of traditional healthcare to a "proactive" and "continuous" structure. With technology, we are now developing systems that can continuously monitor your health, provide early warnings, and even predict diseases.
Key application areas where we develop AI-supported solutions in digital health and smart system technologies
AI-assisted surgery systems and minimally invasive surgical solutions
Continuous vital monitoring devices and personalized health monitors
Remote patient monitoring systems and digital health assistants
Physical therapy automation and motor function recovery systems
Elderly patient monitoring and daily activity analysis technologies
Virtual reality therapy and augmented reality surgical navigation
Digital health and smart system solutions tested and used in real clinical environments
Provides 97% accuracy in minimally invasive surgeries using image-based navigation and AI, reduces surgery time by 30%, and minimizes complication risks.
Continuously monitors ECG, heart rate variability, and activity levels to detect cardiac anomalies with 94% accuracy and sends automatic alerts in emergencies.
Evaluates motor functions of post-stroke patients to develop personalized exercise programs and accelerates the rehabilitation process by 40%.
Analyzes daily activities, sleep quality, and fall risks in elderly patients, predicting emergencies with 89% accuracy and sending automatic notifications to family members.
Accelerates the recovery process by 67% in depression and anxiety treatment using cognitive behavioral therapy techniques.
Analyzes patient profiles to calculate optimal drug dosage and reduces side effect risks by 73%.
Analyzes patient symptoms and vital signs to provide preliminary diagnosis suggestions with 91% accuracy.
Reduces pain levels by 58% in chronic pain treatment using immersive VR experiences.
We collaborate with experts from health and engineering fields with our multidisciplinary approach
Key research topics we focus on for the development of AI technologies in digital health and smart systems
The human body produces thousands of physiological variables every second. We develop systems that can make sense of the continuous changes in parameters like heartbeats, respiratory rate, and blood pressure, detecting critical conditions within milliseconds.
People may not always act rationally regarding health matters. We learn behavior patterns like forgetting to take medication or not following exercise programs to develop personalized intervention strategies for each individual.
We strike a balance between user comfort and measurement accuracy. No matter how precise a device is, if the user doesn't want to wear it continuously, it has no value. We design with ergonomics, aesthetics, and user experience in mind.
We understand the limits of remote examination and develop systems that accurately determine when in-person examination is required. Critical decisions are made by analyzing patient complaints, vital signs, and medical history.
We aim for surgical robots to go beyond mimicking the surgeon's movements and provide proactive assistance. We develop hybrid systems that analyze tissues in real-time, predict bleeding risks, and alert the surgeon.
We develop new measurement methods beyond traditional laboratory tests. We obtain clues about health status from daily life data like phone usage patterns and voice tone changes.
Concrete achievements and clinical impacts of our Research Group in digital health and smart systems
Would you like to collaborate with us to develop AI applications in digital health and smart system technologies?
System testing and development with hospitals and healthcare institutions in real environments
Inter-university digital health research projects and technology transfer
Wearable device and digital platform development with technology companies